The German AI-StartUp Association published a 9-item position paper for Germany’s Artificial Intelligence strategy.
In its paper, the association outlines more than a hundred individual measures that will strengthen Germany’s and Europe’s position in the international AI race.
The German AI-Startup Association was founded on March 16, 2018, by companies, startups, and experts in the AI field.
The board members are Jörg Bienert (aiso-lab), Rasmus Rothe (Merantix) and Fabian Beringer (ebot7). Chairman Jörg Bienert: “The German society reacts with hype, hysteria or platitudes. So far, Germany and Europe, on the whole, have lagged behind other countries in the strategic and concerted promotion of this technology. We want to contribute that Germany is being able to make the best possible use of the resulting dynamic.”
The association’s political advisory board is led by Marcus Ewald (Ewald & Rössing). The political advisory board also includes Thomas Jarzombek (CDU), Jens Zimmermann (SPD), Manuel Höferlin (FDP), Dieter Janecek (Die Grünen) and Petra Sitte (DIE LINKE). Marcus Ewald: “A flourishing market economy thrives on those who are new to the competition. The German AI founder scene can become part of that innovative force. Now politics must open the doors.”
The 9 items in detail:
Education & Research
- Promoting AI research at the top level:
A coherent, world-leading research hub with internationally competitive financial resources must be created, with at least 1000 researchers.
- Comprehensive AI training and further education:
Studies must be introduced as a mandatory subject starting in the 3rd grade. A broadly rooted training in most subjects and the promotion of education programs for employees is required.
- Encouraging open-data pools: In favor of education, research and industry, compulsory, consistent and secure open-data pools must be created under a data sharing law that grants access to both public and business data.
- Economy & Infrastructure:
Globally competitive AI startup and SME financing:
A massive increase in funding and funding opportunities (at least €5 billion per year) from both the German government and from European programs as well as private venture capitalists for AI startups and SMEs is required.
- Moonshot Factory:
a pan-European funding program (with at least €1 billion per year) for so-called Moonshot projects with unbureaucratic allocation criteria and processes.
- Cooperation between startups and industry:
Explicit and non-bureaucratic promotion of AI projects between AI companies and established industries (at least €1 billion per year) must be created.
- Work & Society & Law:
Creating adequate legal frameworks:
Sandbox environments and time-limited and on a routinely basis updated regulations need to be established, involving AI experts without compromising international competitiveness.
There must be initiatives to educate people about the universal use of user data. Further education (and research) is (are) needed on the positive impact of AI on society, including a sophisticated analysis of the risks involved, as well as the positive impact of AI to maintain the international competitiveness of entire industries.
- Societal impacts:
The development of future scenarios and the continuous adaptation and implementation of plans to the latest technological advancement (e.g.: assessment of climate change and resulting environmental policies), as well as the establishment of a German Ethics Council for AI, will be required.
The position paper can be downloaded here (in German):